多段翼构型的积冰数值模拟

基于非结构网格提出一种针对多段翼构型的积冰数值模拟方法.通过求解气体欧拉方程得到多段翼的绕流流场,基于空气绕流流场的气流速度分布,采用迭代法对水滴控制方程进行数值求解,得到多段翼各翼面的水滴收集特性;采用不同的积冰冻结模型模拟霜冰和明冰的冻结过程;利用冰层时间推进法模拟积冰过程,基于积冰法向生长假设生成积冰外形.对某典型三段翼霜冰和明冰的结冰情况进行了预测研究,根据多段翼的流场特点提出一种明冰冻结模型的求解思路,并分析了积冰对多段翼性能的影响.      

不同密度弹丸对水冰的超高速撞击成坑实验

为了研究冰冻天体表面撞击坑的形成与演化,开展了水冰的超高速撞击成坑实验。使用二级轻气炮发射1.0 mm直径的球形弹丸,以3 km/s、5 km/s和7 km/s速度对圆柱状冰块进行撞击。弹丸材料包括聚碳酸酯和不锈钢两种,冰块温度为253 K。实验观察到了不同弹丸和不同速度条件下,冰块中撞击坑的形貌特征。对撞击坑直径、深度和剖面形状进行了测量,并与文献中铝弹丸对水冰的撞击坑进行了比较分析。获得了水冰撞击坑特征随撞击参数的变化规律,结果表明：撞击坑直径和深度的主导机制不同,坑深主要由弹丸侵彻作用形成,而坑径主要由冰块的剥落所致;坑深比坑径具有更强的对于弹丸密度的依赖性,高密度弹丸撞击坑直径具有比低密度弹丸更强的对于撞击速度的依赖性;撞击坑体积与撞击能量成正比,高密度弹丸形成的撞击坑直径表现出“能量缩比”行为,而低密度弹丸形成的撞击坑直径表现出“动量缩比”行为。     

关于飞机结冰的多重安全边界问题

边界保护是保障飞机安全性的重要方面,对目前国内外飞机结冰安全边界问题的研究现状及进展进行了综述,对飞机结冰致灾物理链路的影响因素及规律进行了分析,指出目前从飞行力学角度出发的安全边界尚未全面考虑飞机结冰致灾复杂物理现象的相关因素,并提出了飞机结冰多重安全边界的概念,将飞机结冰的安全边界分为气象边界、冰形边界和飞行安全边界。结合相应的物理规律和实际应用,按照飞机结冰导致性能恶化的影响程度、飞行操纵影响程度等对边界又进行了多重属性划分。进一步梳理了多重安全边界研究需解决的主要关键问题,提出了下一步的相关研究方向,可为飞机设计、适航认证、飞行操纵、航路规划、分级优化保护等方面的应用提供支撑和参考。     

飞机结冰热力学行为研究综述

热力学现象是制约飞机结冰特性的重要现象之一。开展飞机结冰过程热力学行为的研究旨在深入把握结冰过程的规律特征,从而为建立科学有效的结冰防护手段、保障结冰条件下的飞行安全奠定基础。本文回顾和介绍了飞机结冰热力学研究所涉及的过冷水滴存在的物理机制、结冰热力学条件、形核与晶体生长、耦合液/固相变的复合传热传质特性,以及热力学效应作用下的结冰物理特性等相关领域的研究进展及发展现状,并基于国外相关研究的发展趋势,提出了中国未来飞机结冰热力学研究需重点关注的方向。     

基于降维算法和等效杆长的可展结构精度分析

考虑铰链间隙和杆件尺寸误差的不确定性并通过概率统计方法对其进行研究,提出了一种基于单变量降维算法(UDRM)和等效杆长模型的可展结构精度分析方法。利用UDRM将可展结构的精度性能函数解耦为多个杆件尺寸误差的独立作用形式,建立精度分析模型。引入等效杆长模型,等效杆件替代原杆件进行精度计算。将铰链间隙与原始杆件尺寸误差合并到等效杆件的尺寸误差中,同时证明了等效杆长尺寸误差近似服从正态分布。以某卫星可展开天线为算例,结合高斯求积公式求解展开状态下精度指标的分布期望和方差。通过与蒙特卡罗模拟(MCS)和一次二阶矩(FOSM)法计算结果的对比验证了本文精度分析方法的正确性和高效性。     

基于形貌优化法的无轴承开关磁阻电机减振降噪

脉振的径向电磁力作为激励源作用于12/8极单绕组宽转子齿无轴承开关磁阻电机（Bearingless switched reluctance motor with wider rotor teeth,BSRMWR）的定子齿面并传送至定子轭部及机壳,会引发较大的振动噪声,阻碍其推广应用。针对这一问题,本文从本体结构的角度入手对电机壳体进行优化改进。采用三维多物理场有限元模型,建立了BSRMWR电磁-结构-振动-声场耦合模型。通过对BSRMWR电磁场进行瞬态分析,得到径向电磁力。将模态应变能方法应用于BSRMWR的壳体得到电机外壳结构有较大的应变能,说明电机壳体结构的薄弱。基于此,通过形貌优化的方法对电机的壳体结构进行优化。结果表明,采用形貌优化后机壳结构的BSRMWR,其振动和噪声均有显著改善。     

工程方法确定翼面载荷研究

提供一种使用翼面载荷测试的弯、扭矩确定气动载荷分布的工程方法。实例表明这种方法是一种比较简单易行的方法,可以得到工程上较为满意的结果。可供强度工作者参考使用。     

二级轻气炮弹丸速度、质量和位置测量

二级轻气炮发射的氘冰弹丸的速度、质量和显示弹丸完整性的方法和所使用的仪器以及新开发的以波长编码、用光纤为传感器的弹丸进入位置的测量方法。     

Global aerodynamic design optimization based on data dimensionality reduction

In aerodynamic optimization, global optimization methods such as genetic algorithms are preferred in many cases because of their advantage on reaching global optimum. However, for complex problems in which large number of design variables are needed, the computational cost becomes prohibitive, and thus original global optimization strategies are required. To address this need, data dimensionality reduction method is combined with global optimization methods, thus forming a new global optimization system, aiming to improve the efficiency of conventional global optimization. The new optimization system involves applying Proper Orthogonal Decomposition (POD) in dimensionality reduction of design space while maintaining the generality of original design space. Besides, an acceleration approach for samples calculation in surrogate modeling is applied to reduce the computational time while providing sufficient accuracy. The optimizations of a transonic airfoil RAE2822 and the transonic wing ONERA M6 are performed to demonstrate the effectiveness of the proposed new optimization system. In both cases, we manage to reduce the number of design variables from 20 to 10 and from 42 to 20 respectively. The new design optimization system converges faster and it takes 1/3 of the total time of traditional optimization to converge to a better design, thus significantly reducing the overall optimization time and improving the efficiency of conventional global design optimization method.     

Optimization of entry-vehicle shapes during conceptual design

During the conceptual design of a re-entry vehicle, the vehicle shape and geometry can be varied and its impact on performance can be evaluated. In this study, the shape optimization of two classes of vehicles has been studied: a capsule and a winged vehicle. Their aerodynamic characteristics were analyzed using local-inclination methods, automatically selected per vehicle segment. Entry trajectories down to Mach 3 were calculated assuming trimmed conditions. For the winged vehicle, which has both a body flap and elevons, a guidance algorithm to track a reference heat-rate was used. Multi-objective particle swarm optimization was used to optimize the shape using objectives related to mass, volume and range. The optimizations show a large variation in vehicle performance over the explored parameter space. Areas of very strong non-linearity are observed in the direct neighborhood of the two-dimensional Pareto fronts. This indicates the need for robust exploration of the influence of vehicle shapes on system performance during engineering trade-offs, which are performed during conceptual design. A number of important aspects of the influence of vehicle behavior on the Pareto fronts are observed and discussed. There is a nearly complete convergence to narrow-wing solutions for the winged vehicle. Also, it is found that imposing pitch-stability for the winged vehicle at all angles of attack results in vehicle shapes which require upward control surface deflections during the majority of the entry.